Bus Optimization for Sensor Data Logging
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Solution Overview
Problem
The capacity of communication buses in vehicles and mobile devices is often insufficient to collect all sensor data generated, leading to reduced data acquisition performance.
Innovation Solution
A system that estimates the use case of a journey and configures sensors accordingly by retrieving and applying specific sensor configuration parameters, such as enabling or disabling sensors, adjusting sampling frequencies, and anonymizing data, to optimize data logging and reduce irrelevant data on the bus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all sensors operate continuously at full capacity, then complete sensor data is collected, but the communication bus capacity is exceeded and data acquisition performance is reduced
Solution Approach 1:
The system dynamically changes sensor operating parameters (sampling frequency, resolution, enabled/disabled state) based on the detected use case. During private journeys, sensors are configured with lower sampling frequencies or disabled entirely, reducing data volume while maintaining adequate data quality for safety monitoring purposes.
Solution Approach 2:
The sensor configuration is made dynamic rather than static. The system continuously monitors use case conditions and adjusts sensor parameters in real-time, transitioning between different configuration states (full monitoring during work journeys, reduced monitoring during private journeys) to optimize the balance between data completeness and bus capacity utilization.
2Measurement precision
If sensor sampling frequency is increased, then data resolution is improved, but communication bus load increases and exceeds capacity
Solution Approach 1:
The sampling frequency parameter is dynamically adjusted based on use case. During private journeys, the system reduces sampling frequency from high rates (e.g., 100Hz) to lower rates (e.g., 10Hz or 1Hz), maintaining measurement precision adequate for safety monitoring while significantly reducing the data volume transmitted over the communication bus.
3Reliability
If all sensors are enabled continuously, then comprehensive monitoring is achieved, but irrelevant data increases bus traffic and reduces performance
Solution Approach 1:
Different sensors are configured with different parameters based on the specific use case requirements. During private journeys, only essential safety-related sensors maintain high sampling rates while non-essential sensors are disabled or operate at minimal rates, creating a localized optimization where each sensor's data collection is tailored to the current monitoring needs.
Solution Approach 2:
The sensor system is segmented into different groups based on importance and use-case relevance. Critical safety sensors (airbag, brake, steering) are maintained at full monitoring capacity during all journeys, while secondary sensors (entertainment, comfort features) are dynamically enabled or disabled based on journey type, allowing comprehensive monitoring where needed and reducing traffic where not needed.
Data Source
AI summary
The disclosure includes a system and method for optimizing a bus to log sensor data. The system includes a processor and a memory storing instructions that, when executed by the processor, cause the system to: estimate a use case of a journey of a mobile device; retrieve a set of sensor configuration parameters associated with the estimated use case; and configure one or more sensors according to the set of sensor configuration parameters to operate during at least a portion of the journey according to the set of sensor configuration parameters.